Over the past year I have been working on a Web interface to R, Rweb. Anyone that is interested in trying it out can point their browser at: http://www.math.montana.edu/Rweb The main Rweb page provides access to three versions of Rweb. A simple text entry form that returns output and graphs, a more sophisticated Javascript version that provides a multiple window environment, and a set of point and click modules that are useful for introductory statistics courses and require no knowledge of the R language. All of the Rweb versions can analyze Web accessible datasets if a URL is provided. A paper on Rweb will (hopefully) appear soon in the Journal of Statistical Software (http://www.stat.ucla.edu/journals/jss/). The paper provides a detailed explanation of the different versions of Rweb and an overview of how Rweb works. All of the source code for Rweb (mostly Perl scripts) is available at: http://www.math.montana.edu/Rweb/Resources.html We have used Rweb in most of our introductory statistics courses, and a few advanced courses, with great success. It has significantly reduced the problems we used to have in the computer labs. Any comments, suggestions, questions, or criticisms are welcome. Jeff Banfield ---------------------------------------------------------------------- Jeff Banfield Department of Mathematical Sciences Montana State University Bozeman, MT 59717 Phone: (406) 994-5368 Fax: (406) 994-5456 jeff at math.montana.edu http://www.math.montana.edu/~umsfjban ---------------------------------------------------------------------- -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._